Ambriel

Ambriel is an advanced, API-first fraud intelligence and risk management platform engineered for the modern digital enterprise. It provides a unified, tech-stack oriented ecosystem that integrates behavioral analytics, device intelligence, sanctions screening, and real-time risk scoring into a single, cohesive layer. Designed specifically for high-velocity sectors like fintech, marketplaces, retail, iGaming, and crypto, Ambriel empowers businesses to proactively detect, score, and mitigate sophisticated fraud threats—including multi-accounting, payment fraud, synthetic identities, and money laundering—without introducing friction for legitimate users. Its core value proposition lies in its ability to protect revenue and build trust by analyzing a multitude of data points from over 200 sources, uncovering hidden risk patterns, and automating the mitigation process. This allows development and compliance teams to focus on core growth initiatives while ensuring robust security and regulatory adherence, all supported by certifications like PCI DSS, ISO 27001, and GDPR readiness.

AI-Driven Risk Scoring Engine

At the heart of Ambriel is its proprietary AI-driven risk scoring engine, which analyzes thousands of signals from user behavior, device fingerprints, network data, and transaction patterns in real-time. This engine assigns a dynamic risk score to every user interaction, from login to payout, enabling automated decisioning. Its models continuously learn and adapt to new fraud tactics, providing unparalleled accuracy in distinguishing between legitimate customers and malicious actors without manual intervention.

Integrated Sanctions & PEP Screening

Ambriel automates global compliance with integrated screening against over 100 sanctions lists, Politically Exposed Persons (PEP) databases, and crime watchlists. This feature performs real-time checks during onboarding and continuous monitoring, ensuring organizations in fintech and crypto meet stringent AML and KYC regulations. The seamless API integration eliminates the need for manual checks, drastically reducing operational overhead and compliance risk while accelerating user onboarding.

Real-Time Digital Intelligence Network

This feature leverages a vast digital intelligence network, aggregating and analyzing device, browser, and network signals to create a unique digital fingerprint for every user. It detects sophisticated fraud techniques like device spoofing, VM/bot usage, and multi-accounting (linked to the same device or IP). The real-time analysis provides deep visibility into the digital identity behind each action, forming a critical layer of defense for onboarding and transaction security.

Automated Case Management & Alerts

Ambriel streamlines fraud operations with a centralized, automated case management dashboard. The system generates real-time alerts for high-risk events based on customizable rules and risk scores. Investigators can triage, annotate, and resolve cases within the platform, creating a feedback loop that refines detection algorithms. This feature integrates with existing ticketing and communication tools, ensuring seamless workflow integration for security teams.

Synthetic Identity & Onboarding Fraud Prevention

Ambriel is deployed to secure the user registration process by detecting and blocking fake accounts and synthetic identities at the point of creation. By analyzing behavioral signals, device fingerprints, and cross-referencing data points in real-time, it identifies bot-driven signups and fraudulent applications. This allows platforms in fintech and marketplaces to ensure only trustworthy users are onboarded, protecting against future exploitation and fraud losses.

Real-Time Payment & Transaction Fraud Monitoring

For e-commerce and retail platforms, Ambriel monitors every transaction in real-time to identify anomalies indicative of payment fraud, stolen cards, or fraudulent transfers. Its scoring engine evaluates the context of each payment against historical user behavior and global fraud patterns, enabling the automatic blocking of high-risk transactions before they result in chargebacks and revenue loss.

Bonus & Promotion Abuse Mitigation

In iGaming and retail sectors, Ambriel prevents abuse of promotional incentives, referral programs, and bonus schemes. It detects multi-accounting, where a single user creates multiple accounts to claim rewards unfairly, and identifies coordinated referral fraud rings. By linking digital identities and analyzing claim patterns, it ensures marketing spend rewards genuine customer engagement.

Account Takeover (ATO) Protection

Ambriel safeguards user accounts by continuously monitoring login attempts and session activity. It identifies suspicious behavior such as logins from new devices or locations, rapid credential stuffing attempts, and unusual post-login actions. By triggering step-up authentication or blocking the attempt in real-time, it provides robust protection against ATO attacks, preserving customer trust and security.

How does Ambriel integrate with our existing tech stack?

Ambriel is built as an API-first platform with comprehensive RESTful APIs and webhooks, designed for seamless integration into existing workflows, payment gateways, and user management systems. It offers pre-built connectors and SDKs for major e-commerce platforms like Magento, WooCommerce, and Wix Commerce, allowing engineering teams to implement critical fraud checks within days, not months, without disrupting the user experience.

What kind of compliance standards does Ambriel support?

Ambriel is engineered to help businesses meet global regulatory requirements. The platform is PCI DSS compliant, ISO 27001 certified, and GDPR ready. Its automated sanctions screening and monitoring features are built to facilitate AML (Anti-Money Laundering) and KYC (Know Your Customer) compliance, providing the necessary audit trails and data processing agreements (DPA) for regulated industries.

Does Ambriel's detection create friction for legitimate users?

No, a core design principle of Ambriel is to minimize friction for genuine users. Its AI-driven risk scoring performs complex, multi-layered checks in the background. Only interactions flagged as high-risk trigger additional verification steps, such as 2FA. This ensures a smooth experience for the vast majority of trustworthy customers while aggressively challenging fraudulent activity.

How does the real-time risk scoring work?

Ambriel's scoring engine evaluates hundreds of data points in milliseconds, including transaction details, user behavior history, device intelligence, IP reputation, and network signals. These data points are processed through machine learning models trained on vast datasets of known fraud patterns. Each event receives a dynamic risk score (e.g., 1-100), which your systems can use to automate actions like allow, review, or block via API.